Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                

In-situ observations on a moderate resolution scale for validation of the Global Change Observation Mission-Climate ecological products: The uncertainty quantification in ecological reference data

https://doi.org/10.1016/j.jag.2021.102639

Journal: International Journal of Applied Earth Observation and Geoinformation, 2022, p. 102639

Publisher: Elsevier BV

Authors: Tomoko Kawaguchi Akitsu, Kenlo Nishida Nasahara

Funder Japan Aerospace Exploration Agency

List of references

  1. Akitsu, JAXA super sites 500: Large-scale ecological monitoring sites for satellite validation in Japan. 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Milan, № 2015, с. 3866
  2. Akitsu, On the stability of radiometric ratios of photosynthetically active radiation to global solar radiation in Tsukuba, Japan, Agric. For. Meteorol., № 209–210, с. 59
    https://doi.org/10.1016/j.agrformet.2015.04.026
  3. Akitsu, Quantum sensors for accurate and stable long-term photosynthetically active radiation observations, Agric. For. Meteorol., № 237, с. 171
    https://doi.org/10.1016/j.agrformet.2017.01.011
  4. Akitsu, Validating GCOM-C terrestrial ecology products: How should in-situ observation be performed at satellite scale?, с. 9196
  5. Akitsu, Field data for satellite validation and forest structure modeling in a pure and sparse forest of Picea glehnii in northern Hokkaido, Ecol. Res., № 35, с. 750
    https://doi.org/10.1111/1440-1703.12114
  6. Akitsu, Large-scale ecological field data for satellite validation in deciduous forests and grasslands, Ecol. Res., № 35, с. 1009
    https://doi.org/10.1111/1440-1703.12155
  7. BIPM, IEC, IFCC, ILAC, ISO, IUPAC, IUPAP, OIML, 2008. Guide to the expression of uncertainty in measurement, JCGM 100:2008 (GUM 1995 with minor corrections). https://www.bipm.org/documents/20126/2071204/JCGM_100_2008_E.pdf/cb0ef43f-baa5-11cf-3f85-4dcd86f77bd6.
  8. Bitterlich, Die Winkelzählprobe. Allg. Forst-und Holzwirt, Zeitung Wien, № 59, с. 4
  9. Brown, Evaluation of global leaf area index and fraction of absorbed photosynthetically active radiation products over North America using Copernicus Ground Based Observations for Validation data, Remote Sens. Environ., № 247, с. 111935
    https://doi.org/10.1016/j.rse.2020.111935
  10. Brown, Fiducial Reference Measurements for Vegetation Bio-Geophysical Variables: An End-to-End Uncertainty Evaluation Framework, Remote Sens., № 13, с. 3194
    https://doi.org/10.3390/rs13163194
  11. Chen, Spatial scaling of a remotely sensed surface parameter by contexture, Remote Sens. Environ., № 69, с. 30
    https://doi.org/10.1016/S0034-4257(99)00006-1
  12. Cohen, Validating MODIS terrestrial ecology products: Linking in situ and satellite measurements, Remote Sens. Environ., № 70, с. 1
    https://doi.org/10.1016/S0034-4257(99)00053-X
  13. Cohen, MODIS land cover and LAI collection 4 product quality across nine sites in the western hemisphere, IEEE Trans. Geosci. Remote Sens., № 44, с. 1843
    https://doi.org/10.1109/TGRS.2006.876026
  14. Fernandes, Global leaf area index product validation good practices, version 2.0
  15. Fuster, Quality assessment of PROBA-V LAI, fAPAR and fCOVER collection 300 m products of copernicus global land service, Remote Sens., № 12, с. 1017
    https://doi.org/10.3390/rs12061017
  16. Garrigues, Influence of landscape spatial heterogeneity on the non-linear estimation of leaf area index from moderate spatial resolution remote sensing data, Remote Sens. Environ., № 105, с. 286
    https://doi.org/10.1016/j.rse.2006.07.013
  17. Garrigues, Quantifying spatial heterogeneity at the landscape scale using variogram models, Remote Sens. Environ., № 103, с. 81
    https://doi.org/10.1016/j.rse.2006.03.013
  18. Grace, Productivity of tropical rain forests, с. 401
  19. Grosenbaugh, Plotless timber estimates—new, fast, easy, J. Forest., № 50, с. 32
  20. Hori, GCOM-C Data Validation Plan for Land, Atmosphere, Ocean, and Cryosphere, Trans. JSASS Aerosp. Tech. Japan, № 16, с. 218
  21. House, Productivity of tropical savannas and grassland, с. 363
  22. Hu, A framework for analyzing and designing scale invariant remote sensing algorithms, IEEE Trans. Geosci. Remote Sens., № 35, с. 747
    https://doi.org/10.1109/36.581996
  23. Jarvis, Productivity of boreal forests, с. 211
  24. Morisette, Validation of global moderate-resolution LAI products: A framework proposed within the CEOS land product validation subgroup, IEEE Trans. Geosci. Remote Sens., № 44, с. 1804
    https://doi.org/10.1109/TGRS.2006.872529
  25. Niro, European Space Agency (ESA) calibration/validation strategy for optical land-imaging satellites and pathway towards interoperability, Remote Sens., № 13, с. 3003
    https://doi.org/10.3390/rs13153003
  26. Putzenlechner, Validation of Sentinel-2 fAPAR products using ground observations across three forest ecosystems, Remote Sens. Environ., № 232
  27. Ryu, On the correct estimation of effective leaf area index: Does it reveal information on clumping effects?, Agric. For. Meteorol., № 150, с. 463
    https://doi.org/10.1016/j.agrformet.2010.01.009
  28. Sellers, The Boreal Ecosystem-Atmosphere Study (BOREAS): an overview and early results from the 1994 field year, B. Am. Meteorol. Soc., № 76, с. 1549
    https://doi.org/10.1175/1520-0477(1995)076<1549:TBESAO>2.0.CO;2
  29. Turner, Site-level evaluation of satellite-based global terrestrial gross primary production and net primary production monitoring, Global Change Biol., № 11, с. 666
    https://doi.org/10.1111/j.1365-2486.2005.00936.x
  30. Wang, Evaluation of the MODIS LAI algorithm at a coniferous forest site in Finland, Remote Sens. Environ., № 91, с. 114
    https://doi.org/10.1016/j.rse.2004.02.007
  31. Yang, MODIS leaf area index products: From validation to algorithm improvement, IEEE Trans. Geosci. Remote Sens., № 44, с. 1885
    https://doi.org/10.1109/TGRS.2006.871215
  32. Zhang, Evaluating the fraction of vegetation cover based on NDVI spatial scale correction model, Int. J. Remote Sens., № 27, с. 5359
    https://doi.org/10.1080/01431160600658107
About this publication
Number of citations 2
Number of works in the list of references 32
Journal indexed in Scopus Yes
Journal indexed in Web of Science Yes
Пошук